Personalized recommendations for the Web 3D

被引：0

作者：

Ochab, Bartek ^{[1
]}

Neubauer, Nicolas ^{[1
]}

Obermayer, Klaus ^{[1
]}

机构：

[1] Tech Univ Berlin, Neural Informat Proc Grp, D-1000 Berlin, Germany

来源：

ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS | 2008年 / 5149卷

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We introduce the Second Life Location Recommender System (SLLoRS)(1). This system lets users rate and tag locations within the 3D environment Second Life in order to provide personalized recommendations on a collaborative basis. We demonstrate the system as an in-world application and explore some of the general challenges of applying recommendation systems to 3D online environments, like the implementation of data-intensive applications facing restricted computational resources and the segmentation of recommendations in a continuous input space.

引用

页码：374 / 377

页数：4

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